oukhouya62
I'm currently a PhD in Applied Mathematics and Statistics-entrepreneur as a data scientist. I solve real-world problems with others in fast-moving environments.
Faculty of Science - Rabat MoroccoMorocco
oukhouya62's Stars
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
MrMimic/data-scientist-roadmap
Toturials coming with the "data science roadmap" picture.
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
sunflower-land/sunflower-land
JoaquinAmatRodrigo/skforecast
Time series forecasting with machine learning models
battlesnake/neural
LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork
wqk666999/CNN-LSTM-Attention
使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.
chibui191/bitcoin_volatility_forecasting
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
nayash/Stock-Price-Prediction
Predicting stock price using historical data of a company, using Neural networks (LSTM).
quandl/quandl-r
This is Quandl's R Package
iankhr/armagarch
ARMA-GARCH
jiegzhan/image-classification-rnn
Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.
krishnaik06/Time-Series-Forecasting
ashishpatel26/Introduction-to-Time-Series-forecasting
Time Series Analysis of Internation Air Passengers
at-tan/Forecasting_Air_Pollution
Stacking a machine learning ensemble for multivariate time series forecasting, with the goal of predicting the one-period ahead PM 2.5 air pollution level, as published in Towards Data Science on Medium.com
MohamadNach/Machine-Learning-to-Predict-Energy-Consumption
Building a machine learning model to predict energy consumption using LSTM (Long-Short Term Memory)
afshinfaramarzi/Energy-Demand-electricity-price-Forecasting
Electricity price (energy demand) forecasting using different ML, DL, stacked DL and hybrid methods (XGBoost, GRU, LSTM, CNN, CNN-LSTM, LSTM-Attention, Hybrid GRU-XGBoost and Hybrid LSTM-Attention-XGBoost)..
caokyhieu/DELAFO-DeEp-Learning-Approach-for-portFolio-Optimization
inestej/TemplatesLatexESSAI
Un rapport Latex pour les PFE (en anglais et en Français) destiné à l'ESSAI, Université de Carthage, Tunisie. Il y a aussi une forme pour le poster et les rapports de stage validés par l'ESSAI.
DrewScatterday/LSTM_Stock_Prediction
Long short-term memory (LSTM) to predict Tesla stock prices using Keras
DrewScatterday/DiscordTTSBot
abdesshm/PV_energy_forcasting_machine_learning
Multi-linear Retrogression/Random_Forest/SVR/KNN
kevinbamouni/SeriesTemporelles
Projet serie temporelle M2 IRF ISFA 2017
mmm84766/Objectt-Detection-with-bihDatset
oukhouya62/Draw_neural_network
Notebook python (Jupyter) permettant la génération de code LaTeX nécessaire au tracé d'un réseau de neurones
oukhouya62/Forecasting-Real-Gross-Domestic-Product--GDP--per-capita-using-ARIMA-model
oukhouya62/skforecast
Time series forecasting with scikit-learn models
oukhouya62/Stock-MArket-Forecasting
PierreDesmet/Draw_neural_network
Notebook python (Jupyter) permettant la génération de code LaTeX nécessaire au tracé d'un réseau de neurones
subhiarjaria18/Project_2
Intermittent demand forecasting